A Scheduling Theory Framework for GPU Tasks Efficient Execution
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-15996-2_11
Reference23 articles.
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2. Basaran, C., Kang, K.D.: Supporting preemptive task executions and memory copies in GPGPUs. In: 2012 24th Euromicro Conference on Real-Time Systems, pp. 287–296, July 2012. https://doi.org/10.1109/ECRTS.2012.15
3. Chen, G., Zhao, Y., Shen, X., Zhou, H.: EffiSha: a software framework for enabling effficient preemptive scheduling of GPU. In: Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. PPoPP 2017, pp. 3–16. ACM, New York (2017). https://doi.org/10.1145/3018743.3018748
4. Framinan, J., Gupta, J., Leisten, R.: A review and classification of heuristics for permutation flow-shop scheduling with makespan objective. J. Oper. Res. Soc. 55, 1243–1255 (2004). https://doi.org/10.1057/palgrave.jors.2601784
5. Garey, M.R., Johnson, D.S., Sethi, R.: The complexity of flowshop and jobshop scheduling. Math. Oper. Res. 1(2), 117–129 (1976)
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